AI-Driven SaaS Web Application

🚀 Overview

This advanced AI-driven Software-as-a-Service (SaaS) platform provides an innovative approach to video processing, integrating seamless upload capabilities, sophisticated analytical tools, and automated AI-driven insights. Engineered to support enterprises and developers, this system abstracts the complexities of video-based artificial intelligence workflows while ensuring high performance, security, and scalability.

✨ Key Features

• 📂 Effortless Video Ingestion – Streamlined drag-and-drop functionality for efficient media uploads.
• 🔍 Automated AI-Enhanced Analysis – Leverages state-of-the-art machine learning models to extract valuable insights with minimal user intervention.
• ⚡ High-Performance Computational Processing – Optimized with distributed computing architectures to ensure rapid video analysis.
• 🔒 Robust Security Framework – Implements encryption, access control, and compliance-driven data governance strategies.
• 📊 Dynamic Visualization Dashboard – Offers real-time analytics, interactive data exploration, and custom reporting features.
• 🛠 Comprehensive API Ecosystem – Facilitates seamless third-party integrations through well-documented APIs.

📸 Screenshots

Here are some visuals showcasing the application's features:

🔹 Front Start Page View Sign-in or Sign-up

🔹 Image Upload Interface

🔹 Video Upload Interface

🔹 After AI Processing final Result Home Page

🎥 Demonstration Video

Go in this link to watch my project's demo video:click here

🏗️ Technical Stack

• Frontend Technologies: HTML, Next.js, Daisy UI
• Backend Frameworks: Prisma ORM with Neon DB
• Database Management: Neon DB for scalable and efficient data storage
• AI Processing Pipelines: Cloudinary AI for image and video processing
• Storage Infrastructure: Cloudinary for media storage and delivery
• Authentication & Authorization: Clerk for user authentication and access management
• Deployment & Orchestration: Dockerized microservices architecture deployed via Kubernetes

🔧 Installation & Configuration

1. Clone the repository:

   git clone https://github.com/your-repo/ai-saas-webapp.git
   cd ai-saas-webapp

2. Install required dependencies:

   npm install  # Installs frontend dependencies
   cd backend && npm install  # Installs backend dependencies

3. Configure environmental variables within .env:

   DATABASE_URL=your_neon_db_url
   CLERK_SECRET_KEY=your_clerk_secret_key
   CLOUDINARY_URL=your_cloudinary_api_url

4. Execute the application:

   npm run dev  # Concurrently runs both frontend and backend services

📌 Usage Workflow

• Users authenticate via Clerk’s secure authentication system.
• Video files are uploaded and processed through the AI pipeline.
• Results are presented through interactive dashboards with download options.
• API endpoints allow programmatic access to processed outputs for extended integrations.

🤝 Contribution Guidelines

Contributions from the developer community are encouraged. Please adhere to the repository’s contribution protocol by submitting pull requests or raising issues for discussion.

📜 Licensing Information

This project is licensed under the MIT License © 2025 Your Name/Company.